mozilla.ai

Open, transparent AI for real world impact. Built for developers, creators, and teams shaping what’s next.

[mozilla.ai @MozillaAI]

AI is useful. Until you have to connect it to real work.

On June 8 at 2PM BST, Caroline Bohu, Solutions Engineer at @MozillaAI, will walk through how Octonous helps AI agents work across your existing tools and workflows.

See Octonous in action: https://t.co/PEX2aIgSkB

[mozilla.ai @MozillaAI]

Meet transcribe.cpp 🎙️
A new open-source C/C++ speech-to-text inference library with:
⚡ GPU acceleration (Metal, Vulkan & CUDA)
🧩 Support for multiple GGUF STT models
💻 Fast, portable local transcription

Think "llama.cpp for speech".

👀 Read the article: https://t.co/AkA24CHyfz

[mozilla.ai @MozillaAI]

Product work shouldn't mean juggling dozens of tabs.

See how we use Octonous at @MozillaAI to turn Slack feedback into GitHub issues, summarize PRs, and search across connected tools, all while staying in control.

👀 Read the full article: https://t.co/gmu1VkdGgL

[mozilla.ai @MozillaAI]

Image classification is now available in encoderfile 📸

Deploy image classification models with the same zero-dependency approach used for text encoders.
This release includes:
- Image classification via CLI, HTTP/S, and gRPC
- Flexible preprocessing with Lua scripts

Object detection and image segmentation are next.

👀 Read the full post and let us know what you'd like to see next: https://t.co/dqpCY8osiK

#OpenSource #AI #ComputerVision

[mozilla.ai @MozillaAI]

What is an LLM Control Plane, and why does it matter for modern AI teams?

In our latest blog post, Anushri Gupta (Founder, DevRel at https://t.co/YTGWl0EkBh) breaks down the challenges of running LLMs in production and explains how a control plane goes beyond gateways to deliver the observability, governance, and reliability that today’s AI infrastructure demands.

Whether you’re building with LLMs now or planning for the future, this piece is a must-read.

Read the full article: https://t.co/PnnvFqxpXn
#AI #LLM #MLOps #AIInfrastructure #MozillaAI #otari-ai

[mozilla.ai @MozillaAI]

Can healthcare organizations build better AI without sharing sensitive patient data?

On June 10 at SIIM26 (@SIIM_Tweets), @johnpdickerson, CEO of @MozillaAI, will share how institutions can collaborate on AI models while keeping patient and provider data local and secure.

📍 Pittsburgh, PA
🗓️ June 10

See the session: https://t.co/RQrWEK2G8u

[mozilla.ai @MozillaAI]

Less than one week to go.

If your team spends too much time switching between tools, chasing updates, and repeating the same tasks, this webinar is for you.

Join Caroline Bohu from @MozillaAI for a live look at how AI agents can help.

Save your spot: https://t.co/PEX2aIgSkB

[mozilla.ai @MozillaAI]

Meet Carlos Álvarez Barba, who recently joined https://t.co/4abdqMFCFr.

Carlos has spent years building the infrastructure behind cloud, data and AI systems, with a focus on reliability, automation and helping teams move faster.

Say hello and welcome Carlos to the team!

[mozilla.ai @MozillaAI]

Own your AI stack.

Without rebuilding it.

Today we're launching Otari, an open-source LLM gateway built on any-llm. Plus https://t.co/GWKPIXMWRU, the hosted platform.

Choose frontier or open-weights models without giving up the capabilities you expect.

Read the announcement: https://t.co/3OxJdPANuh

[mozilla.ai @MozillaAI]

Gemma 4 26B just fixed a broken React app completely offline.

We ran it locally with llamafile on a MacBook GPU and connected it to VS Code through an OpenAI-compatible server.

It read the codebase, refactored components, and fixed the cart bug.

Watch the video: https://t.co/Mg1popLB8W

[mozilla.ai @MozillaAI]

Cloud AI was cheap until the multipliers showed up.

27x for Claude Opus.
9x for Sonnet.
Even PR reviews are turning into budgeting conversations.

In this piece, Anushri Gupta, DevRel at @MozillaAI, breaks down why more teams are going local and why “local” still comes with lock-in traps.

Read more: https://t.co/DQZwdbUNnx

[mozilla.ai @MozillaAI]

If you haven’t read @johnpdickerson’s piece on sovereign AI yet, one point stands out fast:

A lot of AI systems today depend on a single provider staying stable forever.

Pricing, policies, access, and performance can all change quickly.

Read it here: https://t.co/1IPwcaAjTr

[mozilla.ai @MozillaAI]

You shouldn’t need 15 tabs open to finish one task.

Join us as Caroline Bohu, Solutions Engineer at @MozillaAI, walks through how AI agents can help automate repetitive workflows across your existing tools using Octonous.

📆 June 8 at 2 PM BST

Register: https://t.co/PEX2aIgSkB

[mozilla.ai @MozillaAI]

Stack Overflow helped developers stop repeating the same mistakes.

Introducing cq exchange: shared knowledge for agents across Claude Code, Cursor, Windsurf, OpenCode, and the CLI.

Private namespaces plus a public commons.

See how it works: https://t.co/1xvHUQjkaU

[mozilla.ai @MozillaAI]

Less than one week until SAO.

@MozillaAI is joining @Bauplan_labs, @MongoDB, @datadoghq, @databricks, @Columbia, and @UCBerkeley to co-organize a workshop focused on where AI agents meet data systems and infrastructure.

🗓️ May 26, 2026

Learn more: https://t.co/l2qyH7gXnv

[John P Dickerson @johnpdickerson]

If you're in SF/South Bay next Tuesday, come to our happy hour to nerd out about data infrastructure for agentic AI with a good crew from @MongoDB @Bauplan_labs @databricks @datadoghq @MozillaAI & many more. "AI" is more than just the model, lest we forget 🫡.

[mozilla.ai @MozillaAI]

The interface used to be where the work happened.

Now the work is starting to move underneath it.

Agents care less about menus and canvases, and more about structured state they can read, update, and reason about.

Full piece: https://t.co/HaTH0jUT0M

[mozilla.ai @MozillaAI]

If you can’t fully understand the code anymore, where does reliability come from?

→ Observability
→ Feature flags
→ Rollbacks
→ Isolation
→ Fast recovery

It's more about systems that handle failure.

If you missed our piece on this shift: https://t.co/WL83Ql51n7

[mozilla.ai @MozillaAI]

How does any-llm know which model provider you're using?

Nathan Brake @natebrake breaks down how any-llm figures it out behind the scenes and loads the right SDK at runtime.

Rewatch the recording: https://t.co/EupN3tEaTO